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Writing Tests for a Kafka Streams Application

Kafka Streams applications provide powerful tools for data processing, but the need to run them against a real Kafka cluster in order to exercise and test your code may be frustrating. Luckily, Kafka provides a collection of test utilities that can make the process of testing your code easier. These utilities can even allow you to unit test your streams topologies. In this lab, we will work hands-on with these test utilities by building unit tests for an existing Kafka Streams application.

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Labs

Path Info

Level
Clock icon Intermediate
Duration
Clock icon 45m
Published
Clock icon Oct 18, 2019

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Table of Contents

  1. Challenge

    Clone the Starter Project from GitHub and Perform a Test Run

    1. Clone the starter project from GitHub:

      cd ~/
      git clone https://github.com/linuxacademy/content-ccdak-streams-tests-lab.git
      
    2. Perform a test run to make sure the code is able to compile and run:

      cd content-ccdak-streams-tests-lab
      ./gradlew test
      

      The code should compile, but the tests should fail since they are not implemented yet.

  2. Challenge

    Implement the Unit Tests for the `MemberSignupsStream`

    1. Edit the test class for MemberSignupsStream:

      vi src/test/java/com/linuxacademy/ccdak/streams/MemberSignupsStreamTest.java
      
    2. Implement the test_first_name test:

      @Test
      public void test_first_name() {
          // Verify that the stream accurately parses the first name from the value.
          ConsumerRecordFactory<Integer, String> factory = new ConsumerRecordFactory<>("member_signups", new IntegerSerializer(), new StringSerializer());
          ConsumerRecord<byte[], byte[]> record = factory.create("member_signups", 1, "Summers, Buffy");
          testDriver.pipeInput(record);
      
          ProducerRecord<Integer, String> outputRecord = testDriver.readOutput("member_signups_mail", new IntegerDeserializer(), new StringDeserializer());
      
          OutputVerifier.compareKeyValue(outputRecord, 1, "Buffy");
      }
      
    3. Implement the test_unknown_name_filter test:

      @Test
      public void test_unknown_name_filter() {
          // Verify that the stream filters out records with an empty name value.
          ConsumerRecordFactory<Integer, String> factory = new ConsumerRecordFactory<>("member_signups", new IntegerSerializer(), new StringSerializer());
          ConsumerRecord<byte[], byte[]> record = factory.create("member_signups", 1, "UNKNOWN");
          testDriver.pipeInput(record);
      
          ProducerRecord<Integer, String> outputRecord = testDriver.readOutput("member_signups_mail", new IntegerDeserializer(), new StringDeserializer());
      
          Assert.assertNull(outputRecord);
      }
      
    4. Implement the test_empty_name_filter test:

      @Test
      public void test_empty_name_filter() {
          // Verify that the stream filters out records with an empty name value.
          ConsumerRecordFactory<Integer, String> factory = new ConsumerRecordFactory<>("member_signups", new IntegerSerializer(), new StringSerializer());
          ConsumerRecord<byte[], byte[]> record = factory.create("member_signups", 1, "");
          testDriver.pipeInput(record);
      
          ProducerRecord<Integer, String> outputRecord = testDriver.readOutput("member_signups_mail", new IntegerDeserializer(), new StringDeserializer());
      
          Assert.assertNull(outputRecord);
      }
      
    5. Run your tests and make sure that they pass:

      ./gradlew test
      

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